OKR template to develop a scalable architecture for a video streaming platform

public-lib · Published 10 months ago

The OKR focuses on the creation of a scalable architecture for a video streaming platform. The main goal involves the development of this platform, ensuring its scalability to accommodate a larger user base in the future. The desired outcome of this goal is designing a platform that functions effectively under high user traffic, ensuring 99.99% uptime and availability.

Secondly, this OKR emphasizes enhanced user experience by improving video load times to an average of 3 seconds or less for 95% of the users. This further boosts the platform's performance while maintaining the quality of service delivered to the user.

Thirdly, it aims at increasing the platform's streaming capacity by 30% to accommodate higher user engagement. This involves conducting load testing, implementing a CDN, optimizing server configurations, and upgrading the network infrastructure for improved bandwidth.

Lastly, the ambition is to implement a distributed storage solution to reduce data retrieval time by 20%. This involves designing and thoroughly testing a new distributed storage architecture, researching potential solutions, and conducting a thorough analysis of the current storage system.
  • ObjectiveDevelop a scalable architecture for a video streaming platform
  • Key ResultIntegrate a monitoring system to ensure 99.99% platform availability and uptime
  • Key ResultAchieve an average video load time of 3 seconds or less for 95% of users
  • Key ResultIncrease platform's streaming capacity by 30% to accommodate higher user traffic
  • TaskConduct load testing and identify performance bottlenecks to optimize streaming capacity
  • TaskImplement content delivery network (CDN) to distribute traffic and reduce latency
  • TaskOptimize server configurations to increase platform's streaming capacity by 30%
  • TaskUpgrade network infrastructure for improved bandwidth and faster streaming capabilities
  • Key ResultImplement a distributed storage solution to reduce data retrieval time by 20%
  • TaskDesign and develop a robust distributed storage architecture
  • TaskImplement and thoroughly test the chosen distributed storage solution
  • TaskResearch and identify suitable distributed storage solutions
  • TaskConduct a thorough analysis of the current storage system
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